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makhataei
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qa-persian-bert-fa-base-uncased

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bert
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End of training

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  1. README.md +49 -49
  2. model.safetensors +1 -1
  3. runs/Mar06_15-11-27_Software-AI/events.out.tfevents.1709725288.Software-AI.118212.17 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -34,7 +34,7 @@ More information needed
34
  ### Training hyperparameters
35
 
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-07
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  - train_batch_size: 14
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  - eval_batch_size: 14
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  - seed: 42
@@ -46,95 +46,95 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 5.5994 | 1.0 | 9 | 5.3355 |
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- | 5.6987 | 2.0 | 18 | 5.3355 |
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  | 5.6845 | 3.0 | 27 | 5.3355 |
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- | 5.6478 | 4.0 | 36 | 5.3355 |
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  | 5.722 | 5.0 | 45 | 5.3355 |
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- | 5.6464 | 6.0 | 54 | 5.3355 |
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  | 5.5939 | 7.0 | 63 | 5.3355 |
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- | 5.5771 | 8.0 | 72 | 5.3355 |
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  | 5.5841 | 9.0 | 81 | 5.3355 |
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  | 5.5864 | 10.0 | 90 | 5.3355 |
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- | 5.5771 | 11.0 | 99 | 5.3355 |
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- | 5.6131 | 12.0 | 108 | 5.3355 |
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- | 5.6694 | 13.0 | 117 | 5.3355 |
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- | 5.7032 | 14.0 | 126 | 5.3355 |
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  | 5.6996 | 15.0 | 135 | 5.3355 |
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- | 5.6724 | 16.0 | 144 | 5.3355 |
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- | 5.7379 | 17.0 | 153 | 5.3355 |
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- | 5.6688 | 18.0 | 162 | 5.3355 |
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- | 5.7008 | 19.0 | 171 | 5.3355 |
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  | 5.6231 | 20.0 | 180 | 5.3355 |
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- | 5.6514 | 21.0 | 189 | 5.3355 |
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- | 5.6814 | 22.0 | 198 | 5.3355 |
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- | 5.6307 | 23.0 | 207 | 5.3355 |
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- | 5.7506 | 24.0 | 216 | 5.3355 |
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- | 5.6748 | 25.0 | 225 | 5.3355 |
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  | 5.6644 | 26.0 | 234 | 5.3355 |
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  | 5.6912 | 27.0 | 243 | 5.3355 |
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- | 5.673 | 28.0 | 252 | 5.3355 |
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  | 5.6223 | 29.0 | 261 | 5.3355 |
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- | 5.6194 | 30.0 | 270 | 5.3355 |
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  | 5.6944 | 31.0 | 279 | 5.3355 |
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  | 5.6899 | 32.0 | 288 | 5.3355 |
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- | 5.6169 | 33.0 | 297 | 5.3355 |
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  | 5.6643 | 34.0 | 306 | 5.3355 |
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- | 5.704 | 35.0 | 315 | 5.3355 |
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  | 5.6704 | 36.0 | 324 | 5.3355 |
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- | 5.6939 | 37.0 | 333 | 5.3355 |
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- | 5.6055 | 38.0 | 342 | 5.3355 |
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  | 5.5774 | 39.0 | 351 | 5.3355 |
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- | 5.5988 | 40.0 | 360 | 5.3355 |
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- | 5.6704 | 41.0 | 369 | 5.3355 |
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  | 5.6441 | 42.0 | 378 | 5.3355 |
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- | 5.6434 | 43.0 | 387 | 5.3355 |
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  | 5.6054 | 44.0 | 396 | 5.3355 |
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- | 5.6084 | 45.0 | 405 | 5.3355 |
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  | 5.738 | 46.0 | 414 | 5.3355 |
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  | 5.6527 | 47.0 | 423 | 5.3355 |
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  | 5.6566 | 48.0 | 432 | 5.3355 |
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  | 5.6381 | 49.0 | 441 | 5.3355 |
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  | 5.7056 | 50.0 | 450 | 5.3355 |
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  | 5.6694 | 51.0 | 459 | 5.3355 |
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- | 5.6043 | 52.0 | 468 | 5.3355 |
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- | 5.6552 | 53.0 | 477 | 5.3355 |
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- | 5.5852 | 54.0 | 486 | 5.3355 |
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  | 5.6209 | 55.0 | 495 | 5.3355 |
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- | 5.6145 | 56.0 | 504 | 5.3355 |
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  | 5.6426 | 57.0 | 513 | 5.3355 |
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- | 5.5891 | 58.0 | 522 | 5.3355 |
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  | 5.6143 | 59.0 | 531 | 5.3355 |
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- | 5.6737 | 60.0 | 540 | 5.3355 |
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  | 5.6741 | 61.0 | 549 | 5.3355 |
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- | 5.6885 | 62.0 | 558 | 5.3355 |
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  | 5.677 | 63.0 | 567 | 5.3355 |
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- | 5.6158 | 64.0 | 576 | 5.3355 |
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  | 5.6182 | 65.0 | 585 | 5.3355 |
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- | 5.6781 | 66.0 | 594 | 5.3355 |
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  | 5.686 | 67.0 | 603 | 5.3355 |
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  | 5.6751 | 68.0 | 612 | 5.3355 |
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  | 5.5912 | 69.0 | 621 | 5.3355 |
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  | 5.66 | 70.0 | 630 | 5.3355 |
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- | 5.7323 | 71.0 | 639 | 5.3355 |
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- | 5.6168 | 72.0 | 648 | 5.3355 |
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  | 5.6719 | 73.0 | 657 | 5.3355 |
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- | 5.6933 | 74.0 | 666 | 5.3355 |
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- | 5.5853 | 75.0 | 675 | 5.3355 |
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  | 5.5871 | 76.0 | 684 | 5.3355 |
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  | 5.652 | 77.0 | 693 | 5.3355 |
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- | 5.6025 | 78.0 | 702 | 5.3355 |
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  | 5.6427 | 79.0 | 711 | 5.3355 |
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  | 5.639 | 80.0 | 720 | 5.3355 |
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- | 5.6558 | 81.0 | 729 | 5.3355 |
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- | 5.6957 | 82.0 | 738 | 5.3355 |
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  | 5.6081 | 83.0 | 747 | 5.3355 |
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  | 5.6185 | 84.0 | 756 | 5.3355 |
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  | 5.6379 | 85.0 | 765 | 5.3355 |
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- | 5.6208 | 86.0 | 774 | 5.3355 |
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- | 5.7416 | 87.0 | 783 | 5.3355 |
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- | 5.704 | 88.0 | 792 | 5.3355 |
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- | 5.6387 | 89.0 | 801 | 5.3355 |
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  | 5.6339 | 90.0 | 810 | 5.3355 |
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  | 5.6447 | 91.0 | 819 | 5.3355 |
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  | 5.6304 | 92.0 | 828 | 5.3355 |
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 5e-08
38
  - train_batch_size: 14
39
  - eval_batch_size: 14
40
  - seed: 42
 
46
 
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  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | 5.5993 | 1.0 | 9 | 5.3355 |
50
+ | 5.6986 | 2.0 | 18 | 5.3355 |
51
  | 5.6845 | 3.0 | 27 | 5.3355 |
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+ | 5.6475 | 4.0 | 36 | 5.3355 |
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  | 5.722 | 5.0 | 45 | 5.3355 |
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+ | 5.6463 | 6.0 | 54 | 5.3355 |
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  | 5.5939 | 7.0 | 63 | 5.3355 |
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+ | 5.577 | 8.0 | 72 | 5.3355 |
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  | 5.5841 | 9.0 | 81 | 5.3355 |
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  | 5.5864 | 10.0 | 90 | 5.3355 |
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+ | 5.5772 | 11.0 | 99 | 5.3355 |
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+ | 5.6133 | 12.0 | 108 | 5.3355 |
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+ | 5.6692 | 13.0 | 117 | 5.3355 |
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+ | 5.7031 | 14.0 | 126 | 5.3355 |
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  | 5.6996 | 15.0 | 135 | 5.3355 |
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+ | 5.6727 | 16.0 | 144 | 5.3355 |
65
+ | 5.738 | 17.0 | 153 | 5.3355 |
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+ | 5.6687 | 18.0 | 162 | 5.3355 |
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+ | 5.7009 | 19.0 | 171 | 5.3355 |
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  | 5.6231 | 20.0 | 180 | 5.3355 |
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+ | 5.6515 | 21.0 | 189 | 5.3355 |
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+ | 5.6815 | 22.0 | 198 | 5.3355 |
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+ | 5.6306 | 23.0 | 207 | 5.3355 |
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+ | 5.7509 | 24.0 | 216 | 5.3355 |
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+ | 5.6747 | 25.0 | 225 | 5.3355 |
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  | 5.6644 | 26.0 | 234 | 5.3355 |
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  | 5.6912 | 27.0 | 243 | 5.3355 |
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+ | 5.6731 | 28.0 | 252 | 5.3355 |
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  | 5.6223 | 29.0 | 261 | 5.3355 |
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+ | 5.6195 | 30.0 | 270 | 5.3355 |
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  | 5.6944 | 31.0 | 279 | 5.3355 |
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  | 5.6899 | 32.0 | 288 | 5.3355 |
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+ | 5.6164 | 33.0 | 297 | 5.3355 |
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  | 5.6643 | 34.0 | 306 | 5.3355 |
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+ | 5.7039 | 35.0 | 315 | 5.3355 |
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  | 5.6704 | 36.0 | 324 | 5.3355 |
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+ | 5.694 | 37.0 | 333 | 5.3355 |
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+ | 5.6059 | 38.0 | 342 | 5.3355 |
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  | 5.5774 | 39.0 | 351 | 5.3355 |
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+ | 5.5991 | 40.0 | 360 | 5.3355 |
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+ | 5.6706 | 41.0 | 369 | 5.3355 |
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  | 5.6441 | 42.0 | 378 | 5.3355 |
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+ | 5.6431 | 43.0 | 387 | 5.3355 |
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  | 5.6054 | 44.0 | 396 | 5.3355 |
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+ | 5.6086 | 45.0 | 405 | 5.3355 |
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  | 5.738 | 46.0 | 414 | 5.3355 |
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  | 5.6527 | 47.0 | 423 | 5.3355 |
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  | 5.6566 | 48.0 | 432 | 5.3355 |
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  | 5.6381 | 49.0 | 441 | 5.3355 |
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  | 5.7056 | 50.0 | 450 | 5.3355 |
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  | 5.6694 | 51.0 | 459 | 5.3355 |
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+ | 5.6052 | 52.0 | 468 | 5.3355 |
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+ | 5.6551 | 53.0 | 477 | 5.3355 |
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+ | 5.5851 | 54.0 | 486 | 5.3355 |
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  | 5.6209 | 55.0 | 495 | 5.3355 |
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+ | 5.6144 | 56.0 | 504 | 5.3355 |
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  | 5.6426 | 57.0 | 513 | 5.3355 |
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+ | 5.589 | 58.0 | 522 | 5.3355 |
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  | 5.6143 | 59.0 | 531 | 5.3355 |
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+ | 5.6736 | 60.0 | 540 | 5.3355 |
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  | 5.6741 | 61.0 | 549 | 5.3355 |
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+ | 5.6884 | 62.0 | 558 | 5.3355 |
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  | 5.677 | 63.0 | 567 | 5.3355 |
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+ | 5.6157 | 64.0 | 576 | 5.3355 |
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  | 5.6182 | 65.0 | 585 | 5.3355 |
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+ | 5.678 | 66.0 | 594 | 5.3355 |
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  | 5.686 | 67.0 | 603 | 5.3355 |
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  | 5.6751 | 68.0 | 612 | 5.3355 |
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  | 5.5912 | 69.0 | 621 | 5.3355 |
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  | 5.66 | 70.0 | 630 | 5.3355 |
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+ | 5.7322 | 71.0 | 639 | 5.3355 |
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+ | 5.6167 | 72.0 | 648 | 5.3355 |
121
  | 5.6719 | 73.0 | 657 | 5.3355 |
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+ | 5.6936 | 74.0 | 666 | 5.3355 |
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+ | 5.5852 | 75.0 | 675 | 5.3355 |
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  | 5.5871 | 76.0 | 684 | 5.3355 |
125
  | 5.652 | 77.0 | 693 | 5.3355 |
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+ | 5.6024 | 78.0 | 702 | 5.3355 |
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  | 5.6427 | 79.0 | 711 | 5.3355 |
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  | 5.639 | 80.0 | 720 | 5.3355 |
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+ | 5.6559 | 81.0 | 729 | 5.3355 |
130
+ | 5.6959 | 82.0 | 738 | 5.3355 |
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  | 5.6081 | 83.0 | 747 | 5.3355 |
132
  | 5.6185 | 84.0 | 756 | 5.3355 |
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  | 5.6379 | 85.0 | 765 | 5.3355 |
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+ | 5.6207 | 86.0 | 774 | 5.3355 |
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+ | 5.7414 | 87.0 | 783 | 5.3355 |
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+ | 5.7041 | 88.0 | 792 | 5.3355 |
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+ | 5.6389 | 89.0 | 801 | 5.3355 |
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  | 5.6339 | 90.0 | 810 | 5.3355 |
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  | 5.6447 | 91.0 | 819 | 5.3355 |
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  | 5.6304 | 92.0 | 828 | 5.3355 |
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